You will join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline.
You will work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake.
You’ll contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform.
EDO is the TV outcomes company. Their leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. They are headquartered in New York City and Los Angeles with an office space in San Francisco and recognize the benefits of hybrid working.
Guide clients on optimizing their data environment.
Develop system engineering, integrations, and architectures based on client needs.
Implement and advise on data warehouse solutions, ETL pipelines, and BI reporting tools.
Jobgether helps candidates get their applications reviewed quickly and objectively. They use AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Build data pipeline, ELT, and infrastructure solutions to power internal analytics and customer-facing data products.
Design and optimize ETL processes that merge data from disparate sources for consumption by analysts, business owners, and customers.
Redesign and optimize existing data processes using AI, such as LLM-assisted development, to improve team productivity and enhance data quality.
Recharge is the subscription platform for the world's fastest-growing brands and Shopify's premier subscription solution, building the future of commerce around customer retention. As a hands-on partner to over 20,000 global brands, it is known for relentless product innovation and a culture that values ownership and empathy.
Design, build, and maintain scalable data infrastructure to support analytics and reporting across the organization.
Develop and operate ETL pipelines to ingest, transform, and deliver large-scale datasets.
Partner closely with Data Analysts and cross-functional stakeholders to provide reliable datasets and guide them in using data effectively.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York. With over two decades of experience, they deliver top-tier technology solutions to companies of all sizes. Their team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies in their projects.
Enable self-service analytics for all team members by designing clean, intuitive data models and metrics through dbt, empowering employees to make informed, data-driven decisions.
Develop and refine custom data pipelines that ingest data from operational systems to our analytics platform, handling both streaming and batch data using third-party tooling and home-grown solutions
Maintain and optimize the data platform infrastructure, focusing on data quality, ELT efficiency, and platform hygiene.
Auto Integrate makes leased vehicle maintenance frictionless for millions of customers in the USA and Canada. The business is managed by a small, global team within Fleetio, combining the resources of a scaled SaaS company with the agility of a niche market leader.
Build and maintain robust data pipelines and ETL processes, taking full ownership of the data ecosystem's health, cost, and observability.
Design and manage data warehouses to support advanced analytics, focusing on creating 'Gold Standard' data models for self-service in platforms like PowerBI and Tableau.
Collaborate with cross-functional teams to translate business goals into technical requirements and create models that enhance Analytics and AI/ML projects.
WorkWave provides best-in-class software solutions that directly contribute to the success of their customers. The company has a remote-first global team with employees in over 30 states and 7 countries, fostering an energetic, collaborative, and diverse culture that values innovation and trust.
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional and non-functional business requirements.
Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
Coderoad is a software development company that provides end-to-end software development services. It provides an opportunity to work on exciting, real-world projects in a supportive environment, offering staff augmentation, dedicated IT teams, and general software engineering.
Lead and grow a team of data engineers, providing mentorship and technical guidance.
Own execution of customer integrations across multiple product lines, ensuring on-time delivery.
Improve data quality and pipeline reliability by investing in better alerting and resilience.
Afresh is the leading AI company in fresh food, partnering with grocers to order billions of dollars of fresh food. They are on a mission to eliminate food waste and make fresh food accessible to all and has saved 200M lbs of food waste in 2025 alone.
Own and operate our data warehouse, pipelines, and transformation layer
Design, build, and maintain scalable, reliable data pipelines that ingest data from across our platform and third-party sources, ensuring data is always available and trustworthy for downstream consumers
Partner with data scientists and analysts to deliver clean, well-documented datasets and optimize query performance so teams spend less time wrangling data and more time generating insights
Atticus makes it easy for any sick or injured person in crisis to get the life-changing aid they deserve. In the last six years, they've become the leading platform connecting people with disabilities to government benefits. In 2025, their team grew from 151 to 210, and they will grow again in 2026.
Prepare and manage pre-stage files for backbook conversion activities.
Support and execute data ingestion tasks in alignment with scheduled project events, including key mock events.
Monitor and ensure data ingestion completion within defined SLA windows.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. They help their clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered.
Design, build, and maintain efficient data pipelines (ETL processes) to integrate data from various source systems into the data warehouse.
Develop and optimize data warehouse schemas and tables to support analytics and reporting needs.
Write and refine complex SQL queries and use scripting (e.g., Python) to transform and aggregate large datasets.
Deel is an all-in-one payroll and HR platform tailored for global teams. As one of the largest globally distributed companies, Deel's 7,000 team members span over 100 countries, fostering a dynamic culture of continuous learning and innovation.
Design, build, and maintain scalable data pipelines using Python and Airflow
Develop and optimize ETL/ELT processes for structured and unstructured data
Collaborate with data science teams to support Machine Learning workflows
Oowlish is a rapidly expanding software development company in Latin America. They foster a nurturing work environment, are certified as a Great Place to Work, and provide opportunities for professional development and international impact.
Design, build, and maintain databases that power Hologram's operations.
Build and maintain ETL pipelines that move and transform data reliably.
Audit existing pipelines and data models, identify complexity, and refactor bad decisions.
Hologram is building the future of IoT connectivity, delivering internet access to millions of connected devices worldwide. They process over 5 billion transactions per month across their global infrastructure and values a fun, upbeat, and remote-first team united by their mission.
Become a trusted data and AI advisor to clients, helping them translate business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, ETL/ELT pipelines, and analytic layers.
Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases.
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. They work alongside the most innovative software providers in the data engineering space to solve their clients' toughest business problems and believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
Lead the technical onboarding of partner institutions onto UDTS.
Design, build, and maintain scalable data pipelines and architectures.
Collaborate with team members to set engineering standards and guide data infrastructure strategy.
DataKind is a non-profit organization that uses data science and AI to address global challenges. They work with various sectors like health, humanitarian action, climate, economic opportunity, and education to create data-driven tools.
Design, build, and maintain scalable data platforms using AWS to support analytics, machine learning, and emerging generative AI use cases.
Collaborate with data scientists, analysts, and engineering teams to translate business and AI requirements into scalable data solutions.
Work with large-scale datasets to build and optimize data pipelines using AWS services such as EMR (Spark, Trino), S3, Glue, Athena, and Airflow
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange, they have a team of 23,300 people across 32 countries.
Partner closely with business stakeholders to understand their challenges and design end-to-end architecture.
Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform.
Motive empowers people who run physical operations with tools to make their work safer, more productive, and more profitable. Motive serves nearly 100,000 customers and provides complete visibility and control across a wide range of industries.
Design, build, and maintain scalable, event-driven ELT pipelines in AWS to ingest data from various sources.
Write infrastructure-as-code, use Dagster for orchestration, and implement data quality checks to ensure reliable data operations.
Collaborate with Analytics and Platform Engineers to architect data systems that support clinical analytics and operational reporting for healthcare services.
Jobgether is a recruitment platform that uses AI to match candidates with job opportunities. It operates as a service for partner companies, connecting them with top talent through an objective, technology-driven screening process.
Lead, manage, and mentor a group of data engineers.
Own the design and development of data pipelines and systems.
Partner cross-functionally with Data Science and Product managers.
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people.
Build and manage business data pipelines and transform Firefox telemetry data into structured datasets.
Partner with data scientists, product, and marketing teams to turn datasets into models and metrics.
Ensure data accuracy and performance using observability tools and resolve data issues.
Mozilla Corporation is a technology company backed by a non-profit that has shaped the internet, creating brands like Firefox. With millions of users globally, they focus on areas including AI and social media while remaining focused on making the internet better for people.